Shadow detection in videos acquired by stationary and moving cameras

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dc.contributor.advisorChellappa, Ramaen_US
dc.contributor.authorTrias, Antonioen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2006-02-04T07:50:59Z
dc.date.available2006-02-04T07:50:59Z
dc.date.issued2005-12-09en_US
dc.description.abstractShadow Detection has become a key issue in object detection, tracking and recognition problems. Object appearances might be completely changed by the effects of shading and shadows. Finding good algorithms for shadow detection and reducing shading effects in order to segment objects from video sequences, will enhance the performance of our detection, tracking and recognition algorithms. In this thesis, we present data, physics and model-driven approaches for detecting shadows and correcting shading effects. The effectiveness of these algorithms in video sequences acquired by stationary surveillance cameras and airborne platforms is illustrated.en_US
dc.format.extent6926447 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/3241
dc.language.isoen_US
dc.subject.pqcontrolledEngineering, Electronics and Electricalen_US
dc.subject.pquncontrolledshadowen_US
dc.subject.pquncontrolleddetectionen_US
dc.subject.pquncontrolledstatisticalen_US
dc.subject.pquncontrolledilluminationen_US
dc.subject.pquncontrolledinvarianceen_US
dc.titleShadow detection in videos acquired by stationary and moving camerasen_US
dc.typeThesisen_US

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